Video Shot segmentation algorithm based on SURF

DOI

10.2991/icmmcce-15.2015.357How to use a DOI?

Keywords

video retrieval, video shot segmentation, SURF.

Abstract

Video Shot segmentation is the key technology in content-based video retrieval and browsing, and which will directly affect the results of video retrieval. In view of the problems that the traditional shot segmentation algorithm is complex, the feature of video frame is not ideal, and the segmentation accuracy is low, this paper proposes a shot segmentation algorithm based on SURF (Speeded up Robust Features). This algorithm obtains the boundary of shots by computing the SURF features of video frames and calculating the feature matching rate. The experimental results show that: this algorithm can greatly reduce the amount of computation and data, improve the efficiency of the algorithm. And this algorithm has a great improvement in the accuracy of shot segmentation compared with shot segmentation algorithm based on color histogram.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Shujing Pan
AU  - Shutao Sun
AU  - Lifang Yang
AU  - Fengfeng Duan
PY  - 2015/12
DA  - 2015/12
TI  - Video Shot segmentation algorithm based on SURF
BT  - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmmcce-15.2015.357
DO  - 10.2991/icmmcce-15.2015.357
ID  - Pan2015/12
ER  -